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R packages version 3

Sourced in United States

R packages version 3.3.1 is a collection of software tools and libraries for the R programming language. It provides a wide range of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. The core function of R packages version 3.3.1 is to extend the capabilities of the R programming language and provide users with a comprehensive set of tools for data analysis and visualization.

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4 protocols using r packages version 3

1

Statistical Analysis of Research Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive statistics were provided as absolute frequencies or medians with interquartile range. The Mann–Whitney U-test, or Pearson’s χ2 test, or Fisher’s exact test and non-parametric Kruskal–Wallis test by rank and median multiple comparisons were used depending on the type of data processed. Analysis of variance (ANOVA) was employed to assess the intragroup dynamics of parameters. All the reported p-values were based on two-tailed tests of significance; p-values < 0.05 were regarded as statistically significant. The STATISTICA 7.0 software (StatSoft, Tulsa, OK, USA) and RStudio software version 1.0.136 (Free Software Foundation, Inc., Boston, MA, USA) with R packages version 3.3.1 (R Foundation for Statistical Computing, Vienna, Austria) was used for the analyses.
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2

Statistical Analysis of Research Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive statistics were presented as absolute frequencies or medians with the interquartile range. The Mann–Whitney U test, or Pearson's χ2 test, or Fisher's exact test and nonparametric Kruskal–Wallis test by rank and median multiple comparisons were used depending on type of the data being processed. The Kaplan–Meier model was employed to analyze the achievement of target indicators. All the reported p values were based on two-tailed tests of significance; the p values < 0.05 were regarded as statistically significant. STATISTICA 7.0 software (StatSoft, USA) and RStudio software version 1.0.136 (Free Software Foundation, Inc., USA) with R packages version 3.3.1 (R Foundation for Statistical Computing, Austria) were used for the analyses.
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3

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The calculations were performed using the R Statistical Package (http://www.r-project.org). Descriptive statistics were shown as absolute frequencies or medians with interquartile range. The Mann–Whitney U-test, or ANOVA, or Pearson’s χ2 test, or Fisher's exact test and non-parametric Kruskal–Wallis test by rank and median multiple comparisons were used depending on type of the analyzed data.
All the reported p values were based on two-tailed tests of significance; the p values < 0.05 were regarded as statistically significant. The STATISTICA 7.0 software (StatSoft, USA) and RStudio software version 1.0.136 (Free Software Foundation, Inc., USA) with R packages version 3.3.1 (R Foundation for Statistical Computing, Austria) were used for the analyses.
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4

Statistical Analysis of Research Protocols

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive statistics were provided as absolute frequencies or medians with interquartile range. The ManneWhitney Utest, or Pearson's c 2 test, or Fisher's exact test and nonparametric KruskaleWallis test by rank and median multiple comparisons were used depending on type of the data processed. All the reported p-values were based on twotailed tests of significance; the p-values < 0.05 were regarded as statistically significant. The STATISTICA 7.0 software (StatSoft, USA) and RStudio software version 1.0.136 (Free Software Foundation, Inc., USA) with R packages version 3.3.1 (R Foundation for Statistical Computing, Austria) were used for the analyses.
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